The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Advancing Machine Learning at Capital One with Dave Castillo - #328
Dec 19, 2019
In this discussion, Dave Castillo, Managing VP for ML at Capital One, shares his journey from creating early ML systems at NASA to leading ML adoption at a major financial institution. He highlights the shift from lab-based ML to enterprise-wide integration and discusses innovative use cases. Dave introduces a new role that combines product management and design thinking, aimed at enhancing user experience. He also addresses the challenges of model risk documentation, automation opportunities, and the evolving skill sets required in data science and ML roles.
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Career Journey
- Dave Castillo began his machine learning journey at NASA, working on robotic vision systems.
- He later transitioned to the media industry and then to banking, joining Capital One in 2018.
Shifting ML Approach
- Capital One's machine learning approach has shifted from a centralized model to one of enablement.
- Castillo's team now empowers other teams to be self-sufficient with ML.
Surprising ML Use Cases
- Capital One uses ML for non-traditional banking applications like access privilege assignment and space allocation.
- They also use it for ad word bidding and creative personalization.